function predicted=cosmo_meta_feature_selection_classifier(samples_train, targets_train, samples_test, opt)
% meta classifier that uses feature selection on the training data [deprecated]
%
% predicted=cosmo_classify_meta_feature_selection(samples_train, targets_train, samples_test, opt)
%
% Inputs:
% samples_train PxR training data for P samples and R features.
% targets_train Px1 training data classes.
% samples_test QxR test data.
% opt struct with the following fields:
% .child_classifier handle to classifier to use (e.g.
% @cosmo_classify_matlabsvm).
% .feature_selector handle to feature selector (e.g.
% @cosmo_anova_feature_selector).
% .feature_selection_ratio_to_keep ratio of how many features to
% keep. Should be in between 0 and
% 1.
% Output:
% predicted Qx1 predicted data classes for samples_test
%
% Notes:
% - this function is deprecated. Use
% cosmo_classify_meta_feature_selection instead.
%
% # For CoSMoMVPA's copyright information and license terms, #
% # see the COPYING file distributed with CoSMoMVPA. #
